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Generalized Few-Shot Object Detection without Forgetting

Generalized Few-Shot Object Detection without Forgetting

20 May 2021
Zhibo Fan
Yuchen Ma
Zeming Li
Jian Sun
    VLM
    ObjD
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Papers citing "Generalized Few-Shot Object Detection without Forgetting"

30 / 30 papers shown
Title
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
Boyuan Meng
Xinming Zhang
Peilin Li
Zhe Wu
Yiming Li
Wenkai Zhao
B. Yu
Hui-Liang Shen
ViT
93
0
0
02 May 2025
Detect Everything with Few Examples
Detect Everything with Few Examples
Xinyu Zhang
Yuting Wang
Abdeslam Boularias
ObjD
VLM
26
13
0
22 Sep 2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
Zhimeng Xin
Tianxu Wu
Shiming Chen
Yixiong Zou
Ling Shao
Xinge You
39
4
0
15 Sep 2023
Generating Features with Increased Crop-related Diversity for Few-Shot
  Object Detection
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu
Hieu M. Le
Dimitris Samaras
ObjD
15
26
0
11 Apr 2023
VGTS: Visually Guided Text Spotting for Novel Categories in Historical
  Manuscripts
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
Wenjie Hu
Hongjian Zhan
Xinchen Ma
Cong Liu
Bing Yin
Yue Lu
14
0
0
03 Apr 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
34
17
0
03 Jan 2023
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
24
5
0
15 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
24
7
0
29 Nov 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for
  Few-Shot Object Detection
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Xiaonan Lu
Wenhui Diao
Yongqiang Mao
Junxi Li
Peijin Wang
Xian Sun
Kun Fu
ObjD
32
33
0
27 Nov 2022
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
22
7
0
24 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object Detection
Binyi Su
Hua Zhang
Jingzhi Li
Zhongjun Zhou
48
9
0
28 Oct 2022
A Comparative Attention Framework for Better Few-Shot Object Detection
  on Aerial Images
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
24
3
0
25 Oct 2022
Learning to Discover and Detect Objects
Learning to Discover and Detect Objects
V. Fomenko
Ismail Elezi
Deva Ramanan
Laura Leal-Taixé
Aljosa Osep
ObjD
31
10
0
19 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning
A Unified Framework with Meta-dropout for Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
16
1
0
12 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection
Fast Hierarchical Learning for Few-Shot Object Detection
Yihang She
Goutam Bhat
Martin Danelljan
F. I. F. Richard Yu
ObjD
21
1
0
10 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
  re-training
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
42
30
0
10 Oct 2022
Tunable Hybrid Proposal Networks for the Open World
Tunable Hybrid Proposal Networks for the Open World
Matthew J. Inkawhich
Nathan Inkawhich
H. Li
Yiran Chen
24
2
0
23 Aug 2022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation
  Exploitation
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang
Zhipeng Luo
Kaiwen Cui
Shijian Lu
Eric P. Xing
ViT
41
93
0
30 Jul 2022
Few-Shot Object Detection with Proposal Balance Refinement
Few-Shot Object Detection with Proposal Balance Refinement
Sueyeon Kim
Woo-Jeoung Nam
Seong-Whan Lee
ObjD
25
3
0
22 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
19
15
0
11 Apr 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao
Xun Guo
Yan Lu
ViT
ObjD
22
21
0
17 Mar 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
39
7
0
28 Jan 2022
Extending One-Stage Detection with Open-World Proposals
Extending One-Stage Detection with Open-World Proposals
Sachin Konan
Kevin J Liang
Li Yin
ObjD
26
10
0
07 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
29
2
0
06 Jan 2022
AirDet: Few-Shot Detection without Fine-tuning for Autonomous
  Exploration
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Bowen Li
Chen Wang
Pranay Reddy
Seungchan Kim
Sebastian Scherer
ViT
15
25
0
03 Dec 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
19
15
0
30 Oct 2021
BorderDet: Border Feature for Dense Object Detection
BorderDet: Border Feature for Dense Object Detection
Han Qiu
Yuchen Ma
Zeming Li
Songtao Liu
Jian Sun
ObjD
90
124
0
21 Jul 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
95
544
0
16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
446
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
332
11,684
0
09 Mar 2017
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